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Tytuł:
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Chatbots as extenders of pediatric obesity intervention: an invited commentary on "Feasibility of Pediatric Obesity & Pre-Diabetes Treatment Support through Tess, the AI Behavioral Coaching Chatbot".
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Autorzy:
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Thompson D; USDA/ARS Children's Nutrition Research Center, Baylor College of Medicine, Houston, TX, USA.
Baranowski T; USDA/ARS Children's Nutrition Research Center, Baylor College of Medicine, Houston, TX, USA.
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Źródło:
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Translational behavioral medicine [Transl Behav Med] 2019 May 16; Vol. 9 (3), pp. 448-450.
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Typ publikacji:
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Journal Article; Research Support, U.S. Gov't, Non-P.H.S.
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Język:
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English
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Imprint Name(s):
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Publication: 2018- : [Oxford] : Oxford University Press
Original Publication: New York : Springer
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MeSH Terms:
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Mentoring*
Mobile Applications*
Text Messaging*
Pediatric Obesity/*therapy
Prediabetic State/*therapy
Adolescent ; Behavior Therapy ; Feasibility Studies ; Humans
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Contributed Indexing:
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Keywords: Artificial intelligence; behavior change; chatbots; child obesity
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Entry Date(s):
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Date Created: 20190517 Date Completed: 20200107 Latest Revision: 20200107
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Update Code:
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20240104
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DOI:
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10.1093/tbm/ibz065
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PMID:
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31094432
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Despite our best efforts, pediatric obesity remains an important public health issue. Although many different approaches to address this condition have been utilized, few have achieved long-term success. Technology is increasingly being explored as a convenient and accessible method for delivering behavioral interventions. Stephens and colleagues report the feasibility of using a behavioral coaching social chatbot, Tess, to extend a multicomponent pediatric obesity intervention for adolescents. We examine the pros and cons of this approach. Although social chatbots offer an interesting and novel method for promoting round-the-clock support, important issues and decisions must be carefully considered during the design phase to help ensure a safe environment for a vulnerable population.
(Published by Oxford University Press on behalf of the Society of Behavioral Medicine 2019.)